Anggit Pamungkas

Papers

Total Citations

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About

Anggit Pamungkas is a researcher in robotics and computer vision, with a primary focus on enabling autonomous navigation for mobile and humanoid robots. His most cited work, "Machine Vision-based Obstacle Avoidance for Mobile Robot" (2020, 7 citations), introduces a color recognition-based approach that allows robots to identify and circumvent barriers in real time. This contribution addresses a fundamental challenge in robotics: equipping machines with the perceptual and motor skills needed to operate safely in dynamic environments. By integrating vision-driven obstacle detection with adaptive movement strategies, Pamungkas’s research bridges low-cost sensing and practical autonomy. His work is particularly relevant for humanoid robots, where balance and precise maneuvering are critical. Though his citation count is still growing, the paper serves as a foundational reference for researchers exploring vision-based navigation in resource-constrained settings. Pamungkas’s efforts highlight the importance of accessible, robust algorithms for real-world robotic applications, making his contributions valuable for students and engineers developing intelligent, self-navigating systems.